Welcome

PAM brings together both the network research and operations communities to discuss novel network measurement and analysis techniques, with a particular focus on early stage research.

PAM has traditionally focused on research and practical applications of specific network measurements. However, over the last years, PAM has broadened its scope to encompass measurements of networked applications and systems, content distribution networks, online social networks, overlay networks, and more. Indeed, measurement technology is needed at all layers of the stack, e.g., for power profiling of hardware components, at the MAC/network/transport layers, as well as up the stack for application profiling and even to collect user feedback. Measurement technologies are being designed for the digital home, residential access networks, wireless and mobile access, enterprise, ISP, and data-center networks.

PAM encourages a broad range of submissions across all these topics. We aim at understanding the role that measurement techniques can play in networked environments and applications, across different layers, and how they can serve as building blocks for broader measurement needs.

Although PAM traditionally attracts early stage contributions, works that are a reappraisal or independent validation of previous results, or which enhance the reproducibility of network measurement research, for instance by publishing new datasets on an existing topic, are explicitly included in PAM’s scope.

Best Paper Awards

All accepted regular papers will be considered for the Best Paper Award and Best Dataset Award. The program committee will select a number of candidates for the award among accepted regular papers.

Important Dates:

  • Paper Registration: 7th October 2016,
  • Paper Submission:  14th October 2016,
  • Notification:  16th December 2016
  • Camera-ready Due: 13th January 2017
  • Conference dates: 30-31 March 2017

Sponsors

 

Gold Sponsors

data61_csiro_onwhite_rgb-300x183

akamai-logo

Silver Sponsors

unsw_coat_of_arms

USY_sigs2